ClouderaNow 21 - Easily Ingest Event Data
"Watch this demo as our streaming experts show you exactly how to collect real-time part data from all of our demo factories using Cloudera DataFlow.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
ClouderaNow 21 - Secure & Govern Your Data from Edge to AI
See Cloudera Shared Data Experience (SDX) in action. You will see how they use a single pane of glass to highlight everything that happens to a piece of data across its complete lifecycle, from when it’s first ingested all the way to when it’s used to train a machine learning model.
ClouderaNow 21 - Business Value of an Enterprise Data Cloud
Join us live for the final session of ClouderaNow 21! Hear from Cindy Maike, VP of Industry Solutions, as she highlights the business value of an enterprise data cloud across all use cases and verticals.
Data Enrichment Using Cloudera Data Engineering
In this video, we'll walk through an example on how you can use Cloudera Data Engineering to pull in multiple datasets from a Hive data warehouse and go through the process of enriching the data through the use of Apache Spark. We'll then run this Spark job from within Cloudera Data Engineering so that we can follow the progress and see details about the job's execution.
CDP Public Cloud: SSH Key Deployment
This video covers how to deploy SSH keys in CDP Public Cloud. It touches on how to generate a new SSH key pair and steps through the process of deploying it for a workload user through the Cloudera Management Console Web UI, as well as using the CDP command-line tool. It discusses the security implications of using the Cloudbreak user for login on data hub hosts, and explains why workload user credentials should be used instead in most cases. It also demonstrates using the deployed SSH keys for login to data hub hosts.
Accelerate Application Development with the Operational Database Demo Highlight
Cloudera Operational Database is a fast, flexible, dbPaaS database that enables faster application development. It simplifies application planning as it grows in scale and importance, and is a great fit for many application types including mobile, web, gaming, ad-tech, IoT, and ML model serving.
Data in Discussion: Navigating the Machine Learning Lifecycle
In this video, enterprise data and machine learning experts Sam Charrington (TWIML) and Sushil Thomas (Cloudera ML) discuss what is required to effectively operationalize ML in the enterprise — from requirements across the ML lifecycle to enabling decision-makers.
Demo: Cloudera DataFlow on Data Hub
Cloudera DataFlow for Data Hub makes hybrid use cases possible by extending on-premises flow management, streams messaging, and stream processing and analytics capabilities to the public cloud. Watch an integrated demo of Cloudera DataFlow on Data Hub to understand how easy it is to ingest, process, and analyze your streaming data across multiple public cloud clusters.
Data Exploration & Reporting with Cloudera Data Warehouse
In this video, we’ll go over how you can use both Cloudera Public Cloud to both Ingest data through Cloudera Data Engineering as well as explore it through Hue and Impala within Cloudera Data Warehouse. You'll see how easy it is to run queries that give you insight into your data and how you can use a built in data visualization tool to then create a dashboard to share your results.
Introducing CDE: Purpose Built Tooling For Accelerating Data Pipelines Demo Highlight
Spark has become the de-facto processing framework for ETL and ELT workflows for good reason, but for many enterprises working with Spark has been challenging and resource-intensive. Leveraging Kubernetes to fully containerize workloads, DE provides a built-in administration layer that enables one-click provisioning of autoscaling resources with guardrails, as well as a comprehensive job management interface for streamlining pipeline delivery. DE enables a single pane of glass for managing all aspects of your data pipelines.